Prediction of Inbound and Outbound Passenger Flow in Urban Rail Transit Based on Spatio-Temporal Attention Residual Network

Passenger flow prediction is a critical approach to ensure the effective functioning of urban rail transit. However, there are few studies that combine multiple influencing factors for short-term passenger flow prediction. It is also a challenge to accurately predict passenger flow at all stations i...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Jun Yang, Xueru Dong, Huifan Yang, Xiao Han, Yan Wang, Jiayue Chen
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Subjects:	passenger flow prediction attention mechanism residual network deep learning urban rail transit
Online Access:	https://www.mdpi.com/2076-3417/13/18/10266